It is crucial to monitor wildfires near the power transmission line corridor. The methodology and application status of satellite remote sensing, low-altitude remote sensing, and ground-based remote sensing are clarified in this paper. First, the methods to identify the wildfire areas and to calculate the distance between the fire point and transmission line and the characteristics of each platform for different sensors are analyzed in detail. Second, the advantages and disadvantages of the three monitoring techniques are compared and analyzed. Finally, the research trends of remote sensing techniques to monitor wildfires near transmission lines have been prospected. One technique alone is prone to late detection, misdetection, and omission. So, integrating multiple monitoring methods would be an effective way to improve the accuracy and reduce the latency, although the automatic cooperative processing of multi-source data needs further research. The Unmanned Aerial Vehicle(UAV) platform has limited endurance capacity in the wildfire monitoring of large-span and scale transmission lines. It is essential to strengthening the research on the aspects of autonomous flight and route planning of UAVs, and so is the synergetic operation of multiple UAVs. Combining satellite communication and the 5G technique is necessary to improve their efficiency in areas with poor communication signals, such as high mountainous scenes, to ensure the rapid transmission of UAV scanned data. In addition, deep learning has become a new research direction in identifying wildfire areas and processing data in real time, which can solve the problem of data delay and considerably shorten the response time of firefighting.